Optimal Water Management and Sustainability in Irrigated Agriculture
As the global demand for food continues to rise, it is crucial to ensure that our agricultural practices are sustainable and efficient, especially when it comes to water management in irrigated agriculture. The sustainability of irrigated agriculture requires the efficient management of the availabl...
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| Aineistotyyppi: | Online |
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| Kieli: | englanti |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Linkit: | ONIX_20250220_9783725815197_15 |
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| _version_ | 1869526636538363904 |
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| collection | Directory of Open Access Books |
| description | As the global demand for food continues to rise, it is crucial to ensure that our agricultural practices are sustainable and efficient, especially when it comes to water management in irrigated agriculture. The sustainability of irrigated agriculture requires the efficient management of the available but limited water resources under the existing constraints. Water demand in irrigation is expected to increase in the near future, and it will be seriously impacted by climate change, especially in arid and semi-arid areas. The irrigation water-use efficiency is key to addressing water shortages and reducing environmental problems. In this context, robust and optimal approaches are used to improve irrigation water efficiency, energy use, and crop productivity, and to mitigate economic losses from water scarcity. The SI brings together 14 research papers addressing various water management aspects in irrigated agriculture. The Issue covers a range of topics such as (a) sustainable practices and crop sequencing, (b) irrigation scheduling and deficit water irrigation, (c) the hydrochemical assessment of water, (d) fertigation and irrigation, and (e) forecasting techniques of reference evapotranspiration. |
| format | Online |
| id | doab-20.500.12854ir-152651 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1526512025-02-20T12:51:18Z Optimal Water Management and Sustainability in Irrigated Agriculture Georgiou, Pantazis E. Karpouzos, Dimitrios K. leaf damage Tetranychus urticae Asymmetrasca decedens Stigmina carpophila Polystigma amygdalinum intensive agriculture water management participatory assessment stakeholders sustainable development arid region evapotranspiration partitioning soil evaporation soil water content deep learning recurrent neural networks machine learning algorithms reference evapotranspiration machine learning transformers neural networks support vector machine forecasting Bayesian optimization maize AquaCrop actual crop evapotranspiration (ETa) yield water use efficiency (WUE) irrigation schedule climate change hydrochemical characterization irrigation water quality irrigation suitability soil hydrochemical facies GIS sorghum effluent water irrigation growth response mineral content biomass APSIM Australia gross margin double cropping water price pocket fertigation water productivity innovative technology subsurface irrigation yield reductions deficit irrigation winter wheat micro-irrigation grain yield nitrogen reduction water and nitrogen utilization nitrogen application tomato comprehensive quality economic evaluation Bayesian HYDRUS-1D leaching MCMC Metropolis-Hastings prior distribution posterior distribution salinity uncertainty thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes As the global demand for food continues to rise, it is crucial to ensure that our agricultural practices are sustainable and efficient, especially when it comes to water management in irrigated agriculture. The sustainability of irrigated agriculture requires the efficient management of the available but limited water resources under the existing constraints. Water demand in irrigation is expected to increase in the near future, and it will be seriously impacted by climate change, especially in arid and semi-arid areas. The irrigation water-use efficiency is key to addressing water shortages and reducing environmental problems. In this context, robust and optimal approaches are used to improve irrigation water efficiency, energy use, and crop productivity, and to mitigate economic losses from water scarcity. The SI brings together 14 research papers addressing various water management aspects in irrigated agriculture. The Issue covers a range of topics such as (a) sustainable practices and crop sequencing, (b) irrigation scheduling and deficit water irrigation, (c) the hydrochemical assessment of water, (d) fertigation and irrigation, and (e) forecasting techniques of reference evapotranspiration. 2025-02-20T12:51:15Z 2025-02-20T12:51:15Z 2024 book ONIX_20250220_9783725815197_15 9783725815197 9783725815203 https://directory.doabooks.org/handle/20.500.12854/152651 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9865 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1520-3 10.3390/books978-3-7258-1520-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725815197 9783725815203 308 Basel open access |
| spellingShingle | leaf damage Tetranychus urticae Asymmetrasca decedens Stigmina carpophila Polystigma amygdalinum intensive agriculture water management participatory assessment stakeholders sustainable development arid region evapotranspiration partitioning soil evaporation soil water content deep learning recurrent neural networks machine learning algorithms reference evapotranspiration machine learning transformers neural networks support vector machine forecasting Bayesian optimization maize AquaCrop actual crop evapotranspiration (ETa) yield water use efficiency (WUE) irrigation schedule climate change hydrochemical characterization irrigation water quality irrigation suitability soil hydrochemical facies GIS sorghum effluent water irrigation growth response mineral content biomass APSIM Australia gross margin double cropping water price pocket fertigation water productivity innovative technology subsurface irrigation yield reductions deficit irrigation winter wheat micro-irrigation grain yield nitrogen reduction water and nitrogen utilization nitrogen application tomato comprehensive quality economic evaluation Bayesian HYDRUS-1D leaching MCMC Metropolis-Hastings prior distribution posterior distribution salinity uncertainty thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes Optimal Water Management and Sustainability in Irrigated Agriculture |
| title | Optimal Water Management and Sustainability in Irrigated Agriculture |
| title_full | Optimal Water Management and Sustainability in Irrigated Agriculture |
| title_fullStr | Optimal Water Management and Sustainability in Irrigated Agriculture |
| title_full_unstemmed | Optimal Water Management and Sustainability in Irrigated Agriculture |
| title_short | Optimal Water Management and Sustainability in Irrigated Agriculture |
| title_sort | optimal water management and sustainability in irrigated agriculture |
| topic | leaf damage Tetranychus urticae Asymmetrasca decedens Stigmina carpophila Polystigma amygdalinum intensive agriculture water management participatory assessment stakeholders sustainable development arid region evapotranspiration partitioning soil evaporation soil water content deep learning recurrent neural networks machine learning algorithms reference evapotranspiration machine learning transformers neural networks support vector machine forecasting Bayesian optimization maize AquaCrop actual crop evapotranspiration (ETa) yield water use efficiency (WUE) irrigation schedule climate change hydrochemical characterization irrigation water quality irrigation suitability soil hydrochemical facies GIS sorghum effluent water irrigation growth response mineral content biomass APSIM Australia gross margin double cropping water price pocket fertigation water productivity innovative technology subsurface irrigation yield reductions deficit irrigation winter wheat micro-irrigation grain yield nitrogen reduction water and nitrogen utilization nitrogen application tomato comprehensive quality economic evaluation Bayesian HYDRUS-1D leaching MCMC Metropolis-Hastings prior distribution posterior distribution salinity uncertainty thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| topic_facet | leaf damage Tetranychus urticae Asymmetrasca decedens Stigmina carpophila Polystigma amygdalinum intensive agriculture water management participatory assessment stakeholders sustainable development arid region evapotranspiration partitioning soil evaporation soil water content deep learning recurrent neural networks machine learning algorithms reference evapotranspiration machine learning transformers neural networks support vector machine forecasting Bayesian optimization maize AquaCrop actual crop evapotranspiration (ETa) yield water use efficiency (WUE) irrigation schedule climate change hydrochemical characterization irrigation water quality irrigation suitability soil hydrochemical facies GIS sorghum effluent water irrigation growth response mineral content biomass APSIM Australia gross margin double cropping water price pocket fertigation water productivity innovative technology subsurface irrigation yield reductions deficit irrigation winter wheat micro-irrigation grain yield nitrogen reduction water and nitrogen utilization nitrogen application tomato comprehensive quality economic evaluation Bayesian HYDRUS-1D leaching MCMC Metropolis-Hastings prior distribution posterior distribution salinity uncertainty thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| url | ONIX_20250220_9783725815197_15 |